Cryptocurrency Market Rotation Analysis: 38% of Altcoins Near Historical Lows, AI Tokens Show the Strongest Resilience

Since 2026, the overall crypto market has been undergoing structural adjustments, with capital frequently shifting between different sectors. Against the backdrop of continued pressure on most altcoins, the AI token sector has shown notable relative resilience. As of May 14, 2026, Gate market data shows that SKYAI, an AI-themed token, saw a single-day gain of 44% or more, becoming the best-performing token among the top 100 cryptocurrencies by market cap on a single day. This trend reflects not only an independent rally of a single token, but also deeper changes in the underlying logic of sector rotation in the crypto market.

Why Can AI Tokens Show Strong Resilience in Q1 While Most Altcoins Continue to Weaken

In the first quarter, the AI token sector’s performance significantly outpaced the overall market. Data shows that AI tokens, on average, fell by only 14%, while Bitcoin fell 23% and Ethereum fell 32% during the same period. Within the sector, multiple tokens still recorded positive returns, including TAO, FET, and RENDER. At the same time, about 38% of altcoins’ prices are nearing historical lows, indicating that market funds are not completely exhausted, but rather are breaking into a clear divergence. Capital is withdrawing from sectors whose narratives are aging or that lack sustained catalysts, and concentrating into tracks with long-term fundamental support. The reason AI tokens can maintain relative strength in a weak market environment is primarily that the correlation between their anchored narratives and traditional crypto-market factors—such as interest rate expectations and on-chain liquidity—is weakening, and they are increasingly tied to the real demand for global AI infrastructure buildout.

Where Does the Core Driving Force Behind SKYAI’s Single-Day Leadership in the AI Track Come From

SKYAI’s sharp rise on May 14 is not an isolated event; it is the result of an overall rebound in demand for the AI token sector. According to Gate market data, within 24 hours, SKYAI’s price surged from a low of 0.41593 US dollars to a high of 0.58421 US dollars, with a price movement range reaching 40.5% and trading volume expanding significantly. The rebound in AI token sector demand drove an intraday increase of 52% to around 0.56 US dollars, while trading volume rose 13% to nearly 100 million US dollars. SKYAI ranked first on that day’s Top-100 gainers list (44%). After that, the price pulled back 15% to 25%, and perpetual contract funding outflows led to a 16% decline in open interest, reflecting profit-taking pressure after the short-term surge.

SKYAI’s technical foundation is built on the expansion of the Model Context Protocol (MCP). MCP was originally proposed by Anthropic to standardize communication between AI models and external tools. SKYAI tokens are the settlement currency of the ecosystem, with a total supply of 1 billion tokens. Its design emphasizes utility-driven value, and it claims that the core team does not hold token allocations. However, some on-chain analyses point out that this round of rapid price increases shows signs of coordination and manipulation by wallets associated with centralized exchanges, creating liquidity risks that investors need to take seriously.

How Capital Accelerates Its Shift from RWA Tokens to the AI Track

The divergence between the movements of SKYAI and ONDO is the most direct signal of this round of capital rotation. During the same time period in which SKYAI surged sharply, RWA project Ondo (ONDO) fell by more than 10%, dropping significantly from recent highs and falling to around 0.3908 US dollars. Although ONDO’s fundamentals showed milestone-positive progress—such as achieving tokenization of assets on Hyperliquid’s HyperEVM and participating in settlement tests initiated by JPMorgan and Mastercard—its price still faced pressure. On-chain data shows that wallets controlled by the team transferred about 150 million ONDO tokens, of which more than 21 million were sent to exchanges.

This divergence is not caused by a deterioration in fundamentals, but instead reflects the typical “buy the expectation, sell the fact” dynamic—traders who accumulated positions earlier based on positive fundamental developments are taking profits and shifting capital toward the AI track, which currently has stronger narrative momentum. The RWA track itself continues steady growth: the total locked value of tokenized U.S. Treasuries reached 153.5 billion US dollars on May 13, surpassing the previous record. But in the short term, capital’s priority for returns expectations is giving way to the pursuit of growth narrative elasticity.

Does Increasing Market Segmentation Mean the “AI Tag” Has Lost Universal Value?

A key difference between this AI market rally and the one in February is that the market is no longer rewarding every token that carries an “AI” tag. Previously, a single catalyst was enough to drive broad-based rallies across the entire sector, but now funds are conducting a second round of screening within the AI sector, focusing on projects that still have rapid iteration and true product delivery capabilities. For example, Akash Network has operated a decentralized GPU computing marketplace for many years; Injective has built a complete AI infrastructure stack; and Sahara AI runs an enterprise-grade AI platform with paying customers. Recently, these projects’ price gains have reached 30% to 80%.

In contrast, some well-known AI brand tokens have fallen significantly behind due to a lack of new catalysts: Fetch.ai has risen only 5% this week, while Render has risen by less than 1%. This clear divergence indicates that the market is shifting from valuation logic driven by themes to validation logic driven by delivery, while the crypto altcoin season index remains in the high 30 range, showing that funds are concentrating on narrower targets.

What Stage Has the Real Product Deployment of AI and Crypto Reached?

Since 2026, the integration of AI and blockchain has moved from the narrative layer into large-scale deployment. For the deployment of on-chain AI agents, BNB Chain has become the blockchain network with the highest deployment volume, with more than 150,000 AI agents running on it. One out of every three on-chain AI agents runs on BNB Chain. The peak daily DEX trading volume driven by agents exceeds 18 million US dollars, and the peak daily on-chain transaction volume associated with the agents reaches about 523,000 transactions.

In the areas of privacy and compliance, AI provides core technological support for Web3 by enabling trusted identities, controlled risks, and efficiency improvements, prompting the industry’s competitive focus to shift from on-chain technical iteration to building foundational trust infrastructure. In terms of product innovation, Nexchain launched Smart Actions, an intelligent module designed to transform blockchain networks from manual response systems into autonomous optimization environments. Inveniam launched its mainnet in May 2026 to build a responsibility-tracking infrastructure for AI agents. These examples show that the integration of AI and crypto has moved beyond the concept validation stage and is forming quantifiable real on-chain demand.

Summary

In Q1 2026, the AI token sector became the most resilient sector in the overall crypto market adjustment, with an average decline of only 14%. This resilience is driven by valuation logic increasingly aligning with real demand for global AI infrastructure, rather than traditional macro factors in crypto markets. The AI token rally led by SKYAI in mid-May is not driven by a single sudden event; it is a structural signal of capital rotating from sectors such as RWA into the AI track. SKYAI rose more than 44% within 24 hours, while ONDO fell by more than 10%, forming a clear divergence trajectory.

More importantly, the market has entered a phase of fine-grained screening within the AI sector: projects with sustained product delivery capability are receiving a capital premium, while tokens that only have an “AI tag” but lack new catalysts are performing poorly. Deployment cases such as more than 150,000 AI agents on BNB Chain, the launch of Nexchain’s smart module, and Inveniam’s responsibility-tracking mainnet prove that the integration of AI and crypto is moving from narratives toward substantive on-chain applications. In the current market structure where capital is concentrated toward narrow directions, the ability of projects to deliver real value will be the key variable determining the direction of differentiation within the sector.

FAQ

Q1: What is the current market cap level of the AI token sector?

As of mid-May 2026, the total market cap of the AI-related crypto token sector exceeds 22 billion US dollars, up about 17% week-over-week. There is significant differentiation within the sector; projects with real product capabilities are seeing valuation corrections recover faster.

Q2: What are the key features of SKYAI’s tokenomics model?

SKYAI has a total supply of 1 billion tokens. Its core team claims it does not hold token allocations for distribution. The token design is centered on utility-driven value. Its technical foundation is built on an expanded version of MCP (Model Context Protocol), aiming to provide data access services for AI applications in a multi-chain environment.

Q3: Has the RWA sector been completely replaced by AI tokens?

The RWA sector has not been replaced; it has experienced short-term capital outflows. The total locked value of tokenized U.S. Treasuries has reached 153.5 billion US dollars, and traditional financial institutions continue to add to their positions. But in the short term, capital favors the AI track, which has higher narrative elasticity—this is a typical characteristic of sector rotation.

Q4: Where are the biggest application scenarios for the integration of AI and crypto?

Currently, the most active areas for on-chain AI applications include: DEX trading driven by AI agents, decentralized GPU computing marketplaces, AI-driven Web3 identity and compliance infrastructure, and on-chain data services for AI model training and inference.

Q5: What are the main risks of this round of AI token rotation?

The main risks include: limited market liquidity—altcoins generally have a narrower overall breadth, and when capital flows into narrow targets, if the rotation trend reverses, it may trigger a large drawdown. At the same time, behind the rapid price increases of some tokens there are signals of manipulation and coordinated trading, so investors need to identify the boundary between valuation growth driven by genuine demand and short-term speculative bubbles.